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.gitattributes

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LICENSE

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+MIT License
+
+Copyright (c) the original authors and contributors
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

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+---
+license: mit
+pipeline_tag: audio-to-audio
+library_name: rlx
+tags:
+- miocodec
+- codec
+- rlx
+---
+
+# MioCodec 25Hz/24kHz (RLX staging)
+
+MioCodec weights + ONNX decoder body (local parity fixtures removed).
+
+**Kind:** Staging redistrib of an upstream checkpoint for RLX runners.
+
+**Suggested Hub repo:** `eugenehp/miocodec`
+
+**Upstream:** https://huggingface.co/Aratako/MioCodec-25Hz-24kHz
+
+**RLX crate:** [`rlx-miotts`](https://github.com/MIT-RLX/rlx-models/tree/main/crates/rlx-miotts)
+
+## Contents
+
+Weight tensors and configs in this directory (see file listing on the Hub).
+
+## Run with RLX
+
+From [rlx-models](https://github.com/MIT-RLX/rlx-models) with this directory as the model path:
+
+```bash
+cargo run -p rlx-miotts --release -- --codec-dir .
+```
+
+## License
+
+MIT — see `LICENSE`. Inherit upstream terms when redistributing.
+
+Original weights and authorship: https://huggingface.co/Aratako/MioCodec-25Hz-24kHz
+
+## Staging note
+
+Prepared from the local `weights/` tree in [rlx-models](https://github.com/MIT-RLX/rlx-models) for a future standalone Hub upload. Prefer fetching upstream when this is only a redistrib.

config.yaml

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+model:
+  class_path: miocodec.model.MioCodecModel
+  init_args:
+    config:
+      # SSL Feature settings
+      local_ssl_layers: [6, 9]
+      global_ssl_layers: [1, 2]
+      normalize_ssl_features: true
+
+      # Down/up-sampling settings
+      downsample_factor: 2
+      use_conv_downsample: true
+
+      # Audio settings
+      sample_rate: 24000
+      n_fft: 1920
+      hop_length: 480
+
+      # Wave decoder settings
+      use_wave_decoder: true
+      wave_upsample_factor: 2
+      wave_interpolation_mode: linear
+      wave_decoder_dim: 512
+      wave_resnet_num_blocks: 2
+      wave_resnet_kernel_size: 3
+      wave_resnet_num_groups: 32
+      wave_resnet_dropout: 0.1
+      istft_padding: same
+
+    ssl_feature_extractor:
+      class_path: miocodec.module.ssl_extractor.SSLFeatureExtractor
+      init_args:
+        model_name: wavlm_base_plus
+        output_layer: 9
+        sample_rate: 24000
+
+    local_encoder:
+      class_path: miocodec.module.transformer.Transformer
+      init_args:
+        dim: 768
+        n_layers: 6
+        n_heads: 12
+        window_size: 125
+        use_rope: true
+        rope_theta: 10000.0
+        max_seq_len: 512
+        use_flash_attention: true
+
+    local_quantizer:
+      class_path: miocodec.module.fsq.FiniteScalarQuantizer
+      init_args:
+        input_dim: 768
+        output_dim: 768
+        levels: [8, 8, 8, 5, 5]  # 12800
+
+    feature_decoder: null
+
+    global_encoder:
+      class_path: miocodec.module.global_encoder.GlobalEncoder
+      init_args:
+        input_channels: 768
+        output_channels: 128
+        num_layers: 4
+        dim: 384
+        intermediate_dim: 1152
+
+    # Mel decoder not used
+    mel_prenet: null
+    mel_decoder: null
+    mel_postnet: null
+
+    # Wave decoder components
+    wave_prenet:
+      class_path: miocodec.module.transformer.Transformer
+      init_args:
+        dim: 768
+        output_dim: 512
+        n_layers: 6
+        n_heads: 12
+        window_size: 65
+        use_rope: true
+        rope_theta: 10000.0
+        max_seq_len: 512
+        use_flash_attention: true
+
+    wave_decoder:
+      class_path: miocodec.module.transformer.Transformer
+      init_args:
+        dim: 512
+        n_layers: 8
+        n_heads: 8
+        window_size: 65
+        use_rope: true
+        rope_theta: 10000.0
+        max_seq_len: 512
+        adanorm_condition_dim: 128
+        use_adaln_zero: true
+        use_flash_attention: true

decoder_body.onnx

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model.safetensors

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